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Senior Manager (Data Governance)

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Onsite

Senior Manager (Data Governance)

Inland Revenue Authority of Singapore (IRAS)

Senior Manager (Data Governance)

Skills

Data MiningPythonData Analysis

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Singapore

Work mode:

Onsite

Published on:

21 August 2026

What they need


What The Role Is At IRAS, we are committed to delivering quality tax services and fostering a competitive tax environment for our nation's social and economic growth. You will leverage digital capabilities and opportunities as part of a future-ready team.

What You Will Be Working On

  • Work with stakeholders across IRAS and the Government to review new policies or changes to existing WOG/IRAS policies, and coordinate updates across IRAS.
  • Collaborate with stakeholders to assess and manage data requests, supporting data sharing for better policy decisions and more responsive public services.
  • Develop, review, and implement IRAS’ data strategy and related policies on data management, classification, protection, and security, to promote responsible and effective use of data for improved policies and service delivery.
  • Engage stakeholders to improve data processes across the data lifecycle, ensuring data flows safely and efficiently.
  • Oversee the sharing and use of data within the Government to maximise its value in a secure and controlled manner.
  • Represent IRAS in discussions with WOG and other parties on IRAS’ data governance practices.
  • Build and strengthen IRAS staff capabilities in data management.

What We Are Looking For

  • A degree in any discipline, preferably with a background in Statistics, Computer Science, or a related field with an emphasis on data analytics and governance.
  • 3–5 years of working experience in conceptualising and/or implementing policies, with familiarity with Singapore Government data policies and frameworks.
  • Strong verbal and written communication skills
  • Strong interpersonal skills with the ability to engage and manage relationships across multiple and diverse stakeholder groups.
  • Data extraction and manipulation skills, with proficiency in Python and SAS
  • Resourceful, self-driven, and motivated, with the ability to work independently and take initiative.

Being competent in the following areas is advantageous:

  • Strong data analytics skills with a working knowledge of statistics and econometrics, enabling you to derive meaningful insights and support evidence-based decision-making.
  • Hands-on experience in building process automation workflows and business visualisation dashboards, with the ability to drive efficiency through technology

We regret to inform that only short-listed candidates will be notified. All successful candidates will be offered a 2 year contract in the first instance.

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